An Approach Towards the Least-Squares Method for Simple Linear Regression

Year 2022, Volume: 2 Issue: 2, 38 - 44, 23.09.2022

Hasan Halit Tali Ceren Çelti

https://doi.org/10.54569/aair.1032607

Abstract

This study approaches the least-squares method for simple linear regression model. The least-squares line does not comply with the data when there are outliers that have deceptive effects on the results in the dataset. The study aims to develop a method for obtaining a line that complies more with the data when there are outliers in the dataset.

Keywords

Applied mathematics, Machine learning, Simple linear regression, Least-Squares method, Outliers

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